Exoplanet Classification using Gradient Boosting

A machine learning project focused on identifying exoplanets using observational data collected by the Kepler Space Telescope. The goal of the project is to build a classification model capable of distinguishing real exoplanet candidates from false positives based on physical and observational parameters of planetary transits.